Hualei Yu

Orcid: 0000-0001-5843-5670

According to our database1, Hualei Yu authored at least 14 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Self-supervised robust Graph Neural Networks against noisy graphs and noisy labels.
Appl. Intell., November, 2023

Self-supervised short text classification with heterogeneous graph neural networks.
Expert Syst. J. Knowl. Eng., July, 2023

2022
Not all edges are peers: Accurate structure-aware graph pooling networks.
Neural Networks, 2022

A unified structure learning framework for graph attention networks.
Neurocomputing, 2022

Graph structure learning based on feature and label consistency.
Intell. Data Anal., 2022

DIPool: Degree-Induced Pooling for Hierarchical Graph Representation Learning.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022

LSEGNN: Encode Local Topology Structure in Graph Neural Networks.
Proceedings of the IEEE International Performance, 2022

2021
Local Structural Aware Heterogeneous Information Network Embedding Based on Relational Self-Attention Graph Neural Network.
IEEE Access, 2021

GSAPool: Gated Structure Aware Pooling for Graph Representation Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

DMSPool: Dual Multi-Scale Pooling for Graph Representation Learning.
Proceedings of the Database Systems for Advanced Applications, 2021

Unsupervised Domain Adaptation with Unified Joint Distribution Alignment.
Proceedings of the Database Systems for Advanced Applications, 2021

Semi-Supervised and Self-Supervised Classification with Multi-View Graph Neural Networks.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2018
False Information Detection on Social Media via a Hybrid Deep Model.
Proceedings of the Social Informatics, 2018

Research Progress of Knowledge Graph Based on Knowledge Base Embedding.
Proceedings of the Data Science, 2018


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